Year 2015

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The normal practice in modelling of Controlled Radical Polymerization (CRP) is to apply Monte Carlo based stochastic simulation algorithms assuming the processes to be Markovian. We argue that such an approach overlooks the delayed nature of some processes involved in CRP and do suggest the methodology that overcomes this deficit. The proposed methodology offers the analytical representations for the probability density functions corresponding to the delayed processes as in the cases when the amount of delay is known exactly as it is unknown. Moreover, to improve the accuracy and efficiency of our modelling approach for computation of branching fraction in CRP, we replace the random walk Monte Carlo with the analytical solution. The comparison of the novel methodology with the traditional simulation methods and the experimental data is provided.

Friday 6th March 2015 at 14h
Angel Duran
(Department of Applied Mathematics University of Valladolid Spain),
On evolutionary integral models for image restoration

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In this talk we analyze evolutionary integral based methods for image restoration. In these models, the image evolves according to Volterra type equations and the diffusion is controlled by a convolution kernel. The discussion will involve well-posedness, scale-space properties and long-term behaviour in the continuous and discrete cases, and will include some numerical experiments to illustrate the performance of the models in image denoising and contour detection.

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We consider mathematical models at macroscopic scale to describe tumor growth. In this view, tumor cells are considered as an elastic material subjected to mechanical pressure. Two main classes of model can be encountered: those describing the dynamics of tumor cells density and those describing the dynamic of the tumor thanks to the motion of its domain. These latter models are free boundary problem. We will show that such free boundary problem of Hele-Shaw type can be derived thanks to an incompressible limit from models describing the dynamics of cells density. Moreover, for this model we study the existence of travelling waves, allowing to describe the spread of the tumor.

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In this talk we present the starting mechanical model of the lamellipodial actin-cytoskeleton meshwork. The model is derived starting from the microscopic description of mechanical properties of laments and cross-links and also of the life-cycle of cross-linker molecules]. We introduce a simplified system of equations that accounts for adhesions created by a single point on which we apply a force. We present the adimensionalisation that led to a singular limit that motivated our mathematical study. Then we explain the mathe- matical setting and results already published. In the last part we present the latest developments : we give results for the fully coupled system with unbounded non-linear o-rate. This leads to two possible regimes : under certain hypotheses on the data there is global existence, out of this range we are able to prove blow-up in nite time.

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I will report on some recent progress on optimization problems involving the first Dirichlet eigenvalue and the torsional rigidity. This is joint work with G. Buttazzo, B. Velichkov and with C. Trombetti, C. Nitsch, V. Ferone.

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In this talk we will focus on two-fluid formulations where the fluids are assumed to be compressible and viscosity effects are included in the momentum equations. In the introduction we try to motivate for the study of this model: why can such models be a useful tool for engineers. Then we will narrow the scope and describe a two-fluid model for cell migration. This model can be understood as a generalization of more classical Keller-Segel type of models for cell migration due to random motion and chemotaxis. The model takes the form of a (weakly) compressible two-fluid model with non-conservative pressure terms and interaction terms that play a key role in the momentum equations. The link to Keller-Segel type of models is established by imposing simplifying assumptions and making a specific choice of the interaction term. Existence of global regular solutions for the proposed model for cell migration is then obtained for sufficiently small and regular initial data. The central ingredient in the proof is a basic energy estimate which is combined with certain higher order estimates of cell mass, water mass, and mass of the chemical agent. We also include some examples of numerical solutions of the proposed model that demonstrate pattern formation properties characteristic for Keller-Segel type of models. Sensitivity to different parameters is explored. Finally, we also show some numerical results for a 2D version of a similar model.